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Erschienen in: The Journal of Real Estate Finance and Economics 3/2013

01.04.2013

Deriving Optimal Portfolios for Hedging Housing Risk

verfasst von: Cristian Voicu, Michael Joseph Seiler

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 3/2013

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Abstract

Households that contemplate moving to different cities or trading up/down in the future are exposed to substantial housing risk. In order to mitigate this risk, we derive optimal portfolios using CME housing futures. Housing investment risk is hedged by selling housing futures amounting to the full value of the home. Housing consumption risk is hedged by buying housing futures in each city where the household might move. The size of the hedges depends on the probability of moving, on home values, and on labor income in each region. The hedging demands offset each other when the household intends to live in the same home indefinitely.

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Fußnoten
1
Ignoring housing consumption leads these authors to exaggerate the exposure to housing risk. Englund et al. (2002) conclude, “renters experience almost no losses relative to the unrestricted portfolio.” However, renters are clearly exposed to housing price risk since unexpected increases in real estate would also drive up rent prices, which would make them poorer, everything else constant. A similar argument would be that countries with no oil reserves are still exposed to oil price risk.
 
2
Firms such as Fiserv CSW and Moody’s Economy.com provide reliable home price forecasts.
 
3
Default risk considerations are ignored.
 
4
Futures positions require a small margin account. However, margin requirements could be satisfied with other existing investments without affecting the overall portfolio.
 
5
Depreciation can be effortlessly introduced by letting the future home value be \( \left( {{1} - \delta } \right){H_t}{P_o}_{{,t + {1}}} \).
 
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Metadaten
Titel
Deriving Optimal Portfolios for Hedging Housing Risk
verfasst von
Cristian Voicu
Michael Joseph Seiler
Publikationsdatum
01.04.2013
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 3/2013
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-011-9328-x

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